Abstract
Using the Corpus of Estonian Literary Language and specifically the selection of fiction texts from years 1988-1998 we have studied the frequency table of Estonian syllables (1000 most frequent syllables). As an experimental study we have used Hamilton Path (HP) and Social Network Clusters to study the inner structure of syllable system. For HP we have created and represented a program in J-6.01 which connects all syllables into a sequential path with the maximal connections sum and without a syllable repetition. As another method we have created SNC networks for 100 and 1000 most frequent syllables. In this short article we have presented graphically only the 100 syllable network without explaining exactly either the mathematical method or networks interpretation.
| Original language | Estonian |
|---|---|
| Pages (from-to) | 263-269 |
| Number of pages | 7 |
| Journal | Eesti Rakenduslingvistika Ühingu aastaraamat = Estonian Papers in Applied Linguistics |
| Volume | 4 |
| Publication status | Published - 2008 |
| Externally published | Yes |
Keywords
- computational linguistics
- syllabification
- syllable association
- graph representation
- Hamilton path
- syllable social network
- Estonian